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Search Results (1,913)

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Keywords = endurance performance

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26 pages, 1224 KiB  
Article
Revisiting the Role of Supply Chain Managerial Competence in Firm Logistics Performance: Do Experience and Education Matter?
by Vinh Van Thai, Dong Mai Tran, Lien Thi Ngoc Nguyen, Thao Kim Nguyen and Thanh-Thuy Nguyen
Sustainability 2024, 16(23), 10459; https://doi.org/10.3390/su162310459 (registering DOI) - 28 Nov 2024
Abstract
This study aims to assess, through individual performance, the influence of supply chain managerial competency of logistics managers on company logistics performance, taking into account the moderating effects of education and work experience. Using an empirical survey of Vietnamese developing nation logistics companies, [...] Read more.
This study aims to assess, through individual performance, the influence of supply chain managerial competency of logistics managers on company logistics performance, taking into account the moderating effects of education and work experience. Using an empirical survey of Vietnamese developing nation logistics companies, this study applied the PLS-SEM approach for data analysis including assessments of mediation and moderation. The sample comprised 272 valid replies from a structured survey aimed at managerial personnel. The findings demonstrate that the competencies of logistics managers substantially improve individual performance, hence mediating the favorable correlation between management competencies and organizational logistics performance. The results indicate that both education and experience enhance these linkages at both individual and organizational levels. This study advances the application of RBV theory by highlighting human capital as an essential, distinctive resource that, when augmented by education and experience, enhances organizational performance. Nevertheless, this study’s shortcomings encompass a concentration on the Vietnamese logistics sector, indicating the need for future research across various businesses and geographical settings. These observations highlight the necessity for specialized education and training programs to develop managerial competencies for enduring organizational effectiveness. Full article
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<p>Conceptual framework and proposed hypotheses.</p>
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<p>Bootstrapped testing results for Model 5.</p>
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11 pages, 681 KiB  
Article
Assessment of Physical Performance in Children After Surgery for Congenital Diaphragmatic Hernia
by Anna Pałka, Bogumiła Strumiłło and Anna Piaseczna-Piotrowska
J. Clin. Med. 2024, 13(23), 7249; https://doi.org/10.3390/jcm13237249 - 28 Nov 2024
Abstract
Objective: This study aims to evaluate long-term physical and motor performance in children aged 3–6 years following congenital diaphragmatic hernia (CDH) surgery, in comparison with healthy peers. While existing research emphasizes prognostic factors such as the lung to heart ratio (LHR) and [...] Read more.
Objective: This study aims to evaluate long-term physical and motor performance in children aged 3–6 years following congenital diaphragmatic hernia (CDH) surgery, in comparison with healthy peers. While existing research emphasizes prognostic factors such as the lung to heart ratio (LHR) and liver position, few studies address physical outcomes in early childhood post-surgery. Methods: A total of 31 children who underwent neonatal CDH surgery (study group) and 41 age-matched healthy children (reference group) were assessed. The Wrocław Test and the Ozierecki Metric Scale (modified by Barański) were used to evaluate strength, endurance, motor coordination, and agility. Results: Findings indicated that children in the CDH group had significantly lower scores in physical performance, particularly in endurance and motor coordination, compared to their healthy peers. Strength differences were present but less pronounced. Conclusions: Children post-CDH surgery exhibit slightly delayed physical and motor development, suggesting a potential need for targeted physical activity programs in early childhood to support improved outcomes. Full article
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<p>Categorization of the overall score obtained in the Wrocław test by children from Group I and Group II (<span class="html-italic">p</span> = 0.081).</p>
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<p>Degree of motor development acceleration according to the Ozierecki Test modified by Barański in the examined children from Group I and Group II (<span class="html-italic">p</span> = 0.359).</p>
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16 pages, 7211 KiB  
Article
Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data
by Seung-Hwan Choi, Dawn An, Inho Lee and Suwoong Lee
Mathematics 2024, 12(23), 3750; https://doi.org/10.3390/math12233750 - 28 Nov 2024
Abstract
This paper proposes a deep learning-based anomaly detection method using time-series vibration and current data, which were obtained from endurance tests on driving modules applied in industrial robots and machine systems. Unlike traditional classification models that depend on labeled fault data for detection, [...] Read more.
This paper proposes a deep learning-based anomaly detection method using time-series vibration and current data, which were obtained from endurance tests on driving modules applied in industrial robots and machine systems. Unlike traditional classification models that depend on labeled fault data for detection, acquiring sufficient fault data in real industrial environments is highly challenging due to various conditions and constraints. To address this issue, we employ a semi-supervised learning approach that relies solely on normal data to effectively detect abnormal patterns, overcoming the limitations of conventional methods. The performance of semi-supervised models was first validated using a statistical feature-based anomaly detection approach, from which the GCN-VAE model was adopted. By combining the spatial feature extraction capability of Graph Convolutional Networks (GCNs) with the latent temporal feature modeling of Variational Autoencoders (VAEs), our method can effectively detect abnormal signs in the data, particularly in the lead-up to system failures. The experimental results confirmed that the proposed GCN-VAE model outperformed existing hybrid deep learning models in terms of anomaly detection performance in the pre-failure section. Full article
(This article belongs to the Section Engineering Mathematics)
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<p>Experimental platform (driving module with forward rotation).</p>
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<p>Experimental conditions and methods of the driving modules in the durability test.</p>
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<p>Raw data and RMS values for vibration and current signals of the driving modules. (<b>a</b>) Vibration signal and RMS values. (<b>b</b>) Current signal and RMS values</p>
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<p>Anomaly detection results based on statistical features.</p>
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<p>Anomaly detection results according to the learning model of vibration data.</p>
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<p>Anomaly detection results according to the learning model of current data.</p>
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<p>An anomaly detection algorithm based on GCN-VAE.</p>
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<p>Comparison of anomaly detection results based on hybrid deep learning models for vibration and current data.</p>
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15 pages, 2484 KiB  
Article
Analysis of the Energy Storage Efficiency of a UAV-Mounted Sensor Launcher Built on Traditional Crossbow Launch Mechanisms
by Yanan He, Huiqi Xu, Lei Wang, Lingsong Di, Weihua Liu and Liang Liu
Drones 2024, 8(12), 712; https://doi.org/10.3390/drones8120712 - 28 Nov 2024
Abstract
Deploying sensors to target locations using UAV platforms can effectively address the issue of limited aerial endurance in micro-UAVs. This paper introduces a launch method based on the crossbow principle, which is capable of concealing the deployment of heavy sensors. Given that the [...] Read more.
Deploying sensors to target locations using UAV platforms can effectively address the issue of limited aerial endurance in micro-UAVs. This paper introduces a launch method based on the crossbow principle, which is capable of concealing the deployment of heavy sensors. Given that the size and mass of the launcher on the UAV should be minimized, optimizing the structural energy storage performance of the launcher is essential. Initially, a static energy storage model for the launcher was developed, and criteria for evaluating the energy storage coefficient were established. Using the control variable method, the impact of seven structural parameters on the energy storage performance was analyzed. Based on these findings, a particle swarm optimization algorithm was proposed to optimize six parameters, aiming to maximize the energy storage coefficient. Subsequently, the bending stiffness coefficient of the launcher’s bow limb can be adjusted according to the specific application scenario to manage the energy storage within a reasonable range. Calculations revealed that after optimization, the maximum draw force was only 0.675 times that of the original plan under the same energy storage conditions. With the same maximum draw force, the energy storage capacity was 1.5 times higher than the original plan, indicating a significant optimization effect. This optimization approach provides a theoretical foundation for the energy storage optimization analysis of UAV-launched crossbow-based systems. Full article
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<p>Diagram of the projection device of the Imperial College London team.</p>
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<p>Prototype of the launcher based on bow launch technology on the UAV. (<b>a</b>) Overview of the prototype. (<b>b</b>) Close-up of the launcher structure.</p>
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<p>The launcher model: (<b>a</b>) unbraced, (<b>b</b>) braced, and (<b>c</b>) fully drawn.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different bow limb lengths of launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different bending ratios of launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different recurve angles of bow limb launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different bending stiffness coefficients of launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different lengths of bow riser in launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different angles between the bow limb and bow riser of the launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different string lengths of launcher.</p>
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<p><math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>F</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>E</mi> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>−</mo> <mi>Q</mi> </mrow> </semantics></math> curves for different string lengths of launcher.</p>
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15 pages, 1738 KiB  
Article
The Multi-Component Structure of Core Strength
by Sarah Schulte, Jessica Bopp, Volker Zschorlich and Dirk Büsch
J. Funct. Morphol. Kinesiol. 2024, 9(4), 249; https://doi.org/10.3390/jfmk9040249 - 28 Nov 2024
Viewed by 20
Abstract
Background/Objectives: Core strength diagnostics often focus on measuring core endurance rather than maximal core strength or core power. This study investigates whether core strength can be considered as a general ability that can be measured by a single core strength test or whether [...] Read more.
Background/Objectives: Core strength diagnostics often focus on measuring core endurance rather than maximal core strength or core power. This study investigates whether core strength can be considered as a general ability that can be measured by a single core strength test or whether it needs to be differentiated into several components. Methods: Forty-two adult sports students (nfemale = 20; nmale = 22; age: 24.0 ± 2.9 years; body height: 179.0 ± 9.8 cm; body mass: 75.2 ± 12.7 kg; body fat: 18.0 ± 6.8%) participated in two randomized testing sessions in a laboratory setting. Standard measurements, such as peak rate of force development (pRFD), maximal voluntary contraction (MVC), and holding time, were taken isometrically during four exercises (ventral, dorsal, and lateral right and left). Results: A principal component analysis (PCA) extracted three principal components from twelve different core strength variables. The three identified components explained 73.3% of the total variance and were labeled as (a) maximal core strength, (b) core endurance, and (c) core power. Conclusions: The results suggest three principal components of the core strength construct, as well as their differentiation, may be imperative. These findings should be taken into account in sport science and sports practice as they may be helpful in planning sport-specific diagnostic, performance-oriented training, and injury prevention programs. Full article
(This article belongs to the Section Kinesiology and Biomechanics)
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<p>Isometric measurement of holding time, maximal voluntary contraction (MVC), and peak rate of force development (pRFD) in (<b>a</b>) flexion, (<b>b</b>) extension, and (<b>c</b>) lateral flexion positions.</p>
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<p>Force–time curve of isometric measurement with relevant parameters (MVC, pRFD) highlighted.</p>
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<p>Path diagram of principal component analysis with loadings (<span class="html-italic">r</span>) of maximal isometric voluntary contraction (MVC), peak rate of force development (pRFD), and holding time variables on three principal components (PC1, PC2, PC3). Note: Light red colored arrows indicate low negative loadings, light green colored arrows indicate low positive loadings, and dark green wide arrows indicate high positive loadings.</p>
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29 pages, 4490 KiB  
Article
Genotypic Influences on Actuators of Aerobic Performance in Tactical Athletes
by Martin Flück, Christian Protte, Marie-Noëlle Giraud, Thomas Gsponer and Alain Dössegger
Genes 2024, 15(12), 1535; https://doi.org/10.3390/genes15121535 - 28 Nov 2024
Viewed by 75
Abstract
Background: This study examines genetic variations in the systemic oxygen transport cascade during exhaustive exercise in physically trained tactical athletes. Research goal: To update the information on the distribution of influence of eleven polymorphisms in ten genes, namely ACE (rs1799752), AGT (rs699), MCT1 [...] Read more.
Background: This study examines genetic variations in the systemic oxygen transport cascade during exhaustive exercise in physically trained tactical athletes. Research goal: To update the information on the distribution of influence of eleven polymorphisms in ten genes, namely ACE (rs1799752), AGT (rs699), MCT1 (rs1049434), HIF1A (rs11549465), COMT (rs4680), CKM (rs8111989), TNC (rs2104772), PTK2 (rs7460 and rs7843014), ACTN3 (rs1815739), and MSTN (rs1805086)—on the connected steps of oxygen transport during aerobic muscle work. Methods: 251 young, healthy tactical athletes (including 12 females) with a systematic physical training history underwent exercise tests, including standardized endurance running with a 12.6 kg vest. Key endurance performance metrics were assessed using ergospirometry, blood sampling, and near-infrared spectroscopy of knee and ankle extensor muscles. The influence of gene polymorphisms on the above performance metrics was analyzed using Bayesian analysis of variance. Results: Subjects exhibited good aerobic fitness (maximal oxygen uptake (VO2max): 4.3 ± 0.6 L min−1, peak aerobic power: 3.6 W ± 0.7 W kg−1). Energy supply-related gene polymorphisms rs1799752, rs4680, rs1049434, rs7843014, rs11549465, and rs8111989 did not follow the Hardy–Weinberg equilibrium. Polymorphisms in genes that regulate metabolic and contractile features were strongly associated with variability in oxygen transport and metabolism, such as body mass-related VO2 (rs7843014, rs2104772), cardiac output (rs7460), total muscle hemoglobin content (rs7460, rs4680), oxygen saturation in exercised muscle (rs1049434), and respiration exchange ratio (rs7843014, rs11549465) at first or secondary ventilatory thresholds or VO2max. Moderate influences were found for mass-related power output. Conclusions: The posterior distribution of effects from genetic modulators of aerobic metabolism and muscle contractility mostly confirmed prior opinions in the direction of association. The observed genetic effects of rs4680 and rs1049434 indicate a crucial role of dopamine- and lactate-modulated muscle perfusion and oxygen metabolism during running, suggesting self-selection in Swiss tactical athletes. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>Visualized hypotheses. Composite drawing of the research hypothesis of genetic influences on oxygen transport and aerobic performance. (<b>Left</b>) Assessed elements of the oxygen transport cascade during muscle work. (<b>Right</b>) Color-coded listing of the hypothesized effects of gene polymorphism on the assessed parameters of the oxygen transport cascade (prior knowledge). Numbers denote the mean-centered differences (step size) between major and minor alleles for the hypothesized effects of a respective gene polymorphism. Light gray cells indicate hypothesized influences of the intensity of exercise or prior exercise/warm-up. Darkly highlighted cells denote those where the prior available information was contradictory. Empty cells denote instances where no prior information was indicated to formulate a specific hypothesis. Abbreviations: ACE, angiotensin-converting enzyme; ACTN3, alpha actinin-3; ADP, adenosine diphosphate; aePerf, aerobic performance; AGT, angiotensinogen; ATP, adenosine triphosphate; anae Perf_res, anaerobic power reserve; CKM, muscle-type creatine kinase; CO<sub>2</sub>, carbon dioxide; COMT, catechol-O-methyltransferase; GAS, gastrocnemius (medialis) muscle; HIF1A, hypoxia-inducible factor 1 alpha; m, minor variant of a gene polymorphism; M, major variant of gene polymorphism; MCT1, monocarboxylate transporter 1; MSTN, myostatin; PTK2, protein tyrosine kinase 2 (or focal adhesion kinase); O<sub>2</sub>, oxygen; rsid, identifier of gene polymorphism; SmO<sub>2</sub>, muscle oxygen saturation; TNC, tenascin-C; tHb, total hemoglobin concentration; VAS, vastus lateralis muscle.</p>
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<p>Physiological characteristics during loaded, graded exercise. Rain cloud line plots of individual values for assessed characteristics of oxygen transport (Y-axes) during the different phases (X-axes) of loaded and graded running exercise into exhaustion for the studied 251 subjects. Cases with missing data for a phase were excluded from the display. (<b>A</b>–<b>H</b>) time (<b>A</b>), performance (<b>B</b>), VO<sub>2</sub> (<b>C</b>), Q′ (<b>D</b>), tHb in VAS (<b>E</b>), SmO<sub>2</sub> in VAS (<b>F</b>), SmO<sub>2</sub> in GAS (<b>G</b>), and RER (<b>H</b>). Abbreviations: max, maximal values; stop + 2 min, 120 s into recovery after the cessation of running; VO<sub>2</sub>, oxygen uptake; VT1, ventilatory threshold 1; VT2, ventilatory threshold 2; Perf, power; Q′, cardiac output.</p>
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<p>Examples of the identified genotype effects on body mass-related oxygen uptake. (<b>A</b>–<b>C</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) and individual values (circles) for the influence of rs2104772 on VO<sub>2</sub> at VT2 (<b>A</b>) and VO<sub>2</sub>max (<b>B</b>), and rs7843014 at VT1 (<b>C</b>). Y-axes resume the identity of the respective response variable and applicable unit, while the X-axes indicate the respective genotypes of the addressed gene polymorphism. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5; **, 30.0 ≥ BF10 &gt; 10.0; ***, BF10 &gt; 30.0. Abbreviations: VO2@VT1, VO<sub>2</sub> at VT1; VO2@VT2, VO<sub>2</sub> at VT2.</p>
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<p>Examples of the identified genotype effects on cardiac output. (<b>A</b>–<b>C</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs7460 (<b>A</b>), rs1815739 (<b>B</b>), and rs8111989 (<b>C</b>) on overall cardiac output. Y- and X-axes resume the identity of the respective response variable, the applicable unit, and the respective genotype. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5.</p>
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<p>Examples of the identified genotype effects on total hemoglobin concentration of vastus lateralis muscle. (<b>A</b>–<b>F</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs4680 on overall tHb in VAS (<b>A</b>), tHb in VAS at VT2 (<b>B</b>), and tHb in VAS at VO<sub>2</sub>max (<b>C</b>), as well as rs2104772 (<b>D</b>), rs7460 (<b>E</b>), and rs1049413 (<b>F</b>) on overall tHb in VAS. Y- and X-axes resume the identity of the respective response variable, the applicable unit, and the respective genotype. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5: **, 30.0 ≥ BF10 &gt; 10.0; ***, BF10 &gt; 30.0. Abbreviations: tHb@VT2, tHb at VT2; tHb@VO2max, tHb at VO<sub>2</sub>max.</p>
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<p>Examples of the identified genotype effects on respiration exchange ratio. (<b>A</b>–<b>D</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs11549465 (<b>A</b>) and rs7843014 (<b>B</b>) on RER at VT2, and rs2104772 (<b>C</b>) and rs7843014 (<b>D</b>) on RER at VO<sub>2</sub>max. Y- and X-axes resume the identity of the response variable, the applicable unit, and the respective genotype. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5; **, 30.0 ≥ BF10 &gt; 10.0. Abbreviations: RER@VO2max; RER at VO<sub>2</sub>max; RER@VT2; RER at VT2.</p>
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<p>Examples of the identified genotype effects on oxygen saturation in vastus lateralis muscle. (<b>A</b>–<b>E</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs4680 (<b>A</b>) and rs1049434 (<b>B</b>) on SmO<sub>2</sub> in VAS at the start of exercise, as well as rs1815739 on SmO<sub>2</sub> in VAS at VO<sub>2</sub>max (<b>C</b>), and rs4680 (<b>D</b>) and rs1049434 (<b>E</b>) SmO<sub>2</sub> in VAS at VT1. Y- and X-axes resume the identity of the response variable and the applicable unit, and the respective genotype. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5; **, 30.0 ≥ BF10 &gt; 10.0; ***, BF10 &gt; 30.0. Abbreviations: SmO2@start, SmO<sub>2</sub> at start VAS; SmO2@VO2max, SmO<sub>2</sub> at VO<sub>2</sub>max; SmO2@VT1, SmO<sub>2</sub> at VT1.</p>
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<p>Examples of the identified genotype effects on oxygen saturation in gastrocnemius medialis muscle. (<b>A</b>–<b>D</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs7460 (<b>A</b>) and rs1049434 (<b>B</b>) on SmO<sub>2</sub> in GAS at the start of exercise, as well as rs11549465 on SmO<sub>2</sub> in GAS at VT1 (<b>C</b>) and rs1049434 on SmO<sub>2</sub> in GAS at VO<sub>2</sub>max (<b>D</b>). Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5; ***, BF10 &gt; 30.0.</p>
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<p>Examples of the identified genotype effects on power output. (<b>A</b>–<b>G</b>) Box plots (line: median; cross: mean; box: data from first to third quartile; whiskers: ±1.5 × interquartile range) with individual values (circles) for the influence of rs11549465 on performance at VO<sub>2</sub>max (<b>A</b>), rs7460 (<b>B</b>), and rs1815739 (<b>C</b>) on performance at VT1, as well as rs11549465 (<b>D</b>) and rs2104772 (<b>E</b>) on performance at VT2, as well as rs699 (<b>F</b>) and rs1815739 (<b>G</b>) on the anaerobic power reserve. Y- and X-axes resume the identity of the response variable, the applicable unit, and the respective genotype. Respective Bayes factors (BF10) for post hoc effects are given as follows: *, 10.0 ≥ BF10 &gt; 2.5. Abbreviations: Perf@VO2max, power at VO<sub>2</sub>max; Perf@VT1, power at VT1; Perf@VT2, power at VT2.</p>
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<p>Sites of interaction of assessed gene polymorphism with metabolic and contractile processes involved in energy provision and force development by muscle fibers. Arrows point to demonstrated points of influence of anatomical/biochemical processes by the connected gene polymorphisms. Drawing of the cellular makeup of skeletal muscle in muscle fibers and capillaries and the embedded myofibrillar and mitochondrial organelles, as well as biochemical processes for fueling energetic requirements during physical work by means of the aerobic combustion of organic substrates. Arrows indicate sites of demonstrated influence of the eleven studied gene polymorphisms. We refer to the other illustrations and tables regarding the abbreviations.</p>
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13 pages, 444 KiB  
Systematic Review
The Effect of Polarized Training Intensity Distribution on Maximal Oxygen Uptake and Work Economy Among Endurance Athletes: A Systematic Review
by Henrik Lyngstad Nøst, Morten Andreas Aune and Roland van den Tillaar
Sports 2024, 12(12), 326; https://doi.org/10.3390/sports12120326 - 27 Nov 2024
Viewed by 281
Abstract
High-intensity training (HIT) has commonly been the most effective training method for improvement in maximal oxygen uptake (VO2max) and work economy, alongside a substantial volume of low-intensity training (LIT). The polarized training model combines both low- and high-intensity training into a [...] Read more.
High-intensity training (HIT) has commonly been the most effective training method for improvement in maximal oxygen uptake (VO2max) and work economy, alongside a substantial volume of low-intensity training (LIT). The polarized training model combines both low- and high-intensity training into a specific training intensity distribution and has gained attention as a comprehensive approach. The objective of this review was to systematically search the literature in order to identify the effects of polarized training intensity distribution on VO2max, peak oxygen uptake (VO2peak), and work economy among endurance athletes. A literature search was performed using PubMed and SPORTDiscus. A total of 1836 articles were identified, and, after the selection process, 14 relevant studies were included in this review. The findings indicate that a polarized training approach seems to be effective for enhancing VO2max, VO2peak, and work economy over a short-term period for endurance athletes. Specifically, a training intensity distribution involving a moderate to high volume of HIT (15–20%) combined with a substantial volume of LIT (75–80%) appears to be the most beneficial for these improvements. It was concluded that polarized training is a beneficial approach for enhancing VO2max, VO2peak, and work economy in endurance athletes. However, the limited number of studies restricts the generalizability of these findings. Full article
(This article belongs to the Special Issue Human Physiology in Exercise, Health and Sports Performance)
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<p>Flow chart of the search strategy and study selection.</p>
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14 pages, 801 KiB  
Article
Masticatory and Neck Muscles’ Isometric Endurance and Their Relation to Upper Limb Isometric Grip Strength in Sport Climbers—Preliminary Investigation
by Michał Baszczowski, Aleksandra Dolina, Magdalena Zawadka, Michał Ginszt, Adam Czarnecki, Agata Ginszt and Piotr Gawda
Medicina 2024, 60(12), 1956; https://doi.org/10.3390/medicina60121956 - 27 Nov 2024
Viewed by 261
Abstract
Background and Objectives: Sport climbing’s popularity has grown with its inclusion in the Olympics and increased accessibility. Understanding the relationship between hand dominance, grip strength, endurance, and the involvement of masticatory and neck muscles can provide valuable insights into the neuromuscular adaptations [...] Read more.
Background and Objectives: Sport climbing’s popularity has grown with its inclusion in the Olympics and increased accessibility. Understanding the relationship between hand dominance, grip strength, endurance, and the involvement of masticatory and neck muscles can provide valuable insights into the neuromuscular adaptations specific to sport climbing, potentially aiding performance optimization and injury prevention in intermediate and advanced climbers. This study analyzes if the dominant hand has greater isometric endurance and isometric manual grip strength parameters than the non-dominant one and examines its relation to the masticatory and neck muscles in intermediate and advanced sport climbers. Materials and Methods: The study was conducted on 41 participants who were divided into two groups according to the IRCRA classification. A level 2 (Lv2) group consisting of 18 climbers and a level 3 (Lv3) group consisting of 23 climbers were identified. First, isometric manual grip strength and isometric endurance were measured using a dynamometer following the protocol of the first three and the last three repetitions (PC3) and the first six and the last six repetitions (PC6). Next, masticatory and neck muscle activity was assessed using surface electromyography, following the same protocol. Results: Greater activity of the temporalis muscle was observed on the non-dominant side in the advanced climber’s group (p = 0.045). The decrease in bioelectric activity was lower on the dominant side in group Lv3 compared to Lv2. In intermediate climbers, the bioelectrical activity of the masseter muscles in PC3 was greater on the non-dominant side, and in PC6, was greater on the dominant side. The digastric muscles showed a greater decrease in isometric endurance on the non-dominant side. Conclusions: Advanced climbers demonstrated greater isometric endurance and isometric manual grip strength parameters in both dominant and non-dominant hands compared to intermediate climbers. The masticatory muscles exhibited higher electromyographic activity on the non-dominant side in the masseter muscles and higher electromyographic activity on the dominant side in the temporalis muscles and digastric muscles. Full article
(This article belongs to the Section Sports Medicine and Sports Traumatology)
14 pages, 1809 KiB  
Article
Metachromatic Leukodystrophy in Morocco: Identification of Causative Variants by Next-Generation Sequencing (NGS)
by Miloud Hammoud, María Domínguez-Ruiz, Imane Assiri, Daniel Rodrigues, Nisrine Aboussair, Val F. Lanza, Jesús Villarrubia, Cristóbal Colón, Naima Fdil and Francisco J. del Castillo
Genes 2024, 15(12), 1515; https://doi.org/10.3390/genes15121515 - 26 Nov 2024
Viewed by 233
Abstract
(1) Background: Most rare disease patients endure long delays in obtaining a correct diagnosis, the so-called “diagnostic odyssey”, due to a combination of the rarity of their disorder and the lack of awareness of rare diseases among both primary care professionals and specialists. [...] Read more.
(1) Background: Most rare disease patients endure long delays in obtaining a correct diagnosis, the so-called “diagnostic odyssey”, due to a combination of the rarity of their disorder and the lack of awareness of rare diseases among both primary care professionals and specialists. Next-generation sequencing (NGS) techniques that target genes underlying diverse phenotypic traits or groups of diseases are helping reduce these delays; (2) Methods: We used a combination of biochemical (thin-layer chromatography and high-performance liquid chromatography-tandem mass spectrometry), NGS (resequencing gene panels) and splicing assays to achieve a complete diagnosis of three patients with suspected metachromatic leukodystrophy, a neurologic lysosomal disorder; (3) Results: Affected individuals in each family were homozygotes for harmful variants in the ARSA gene, one of them novel (c.854+1dup, in family 1) and the other already described (c.640G>A, p.(Ala214Thr), in family 2). In addition, both affected individuals in family 2 were carriers of a known pathogenic variant in an additionallysosomal disease gene, GNPTAB (for mucolipidosis III). This additional variant may modify the clinical presentation by increasing lysosomal dysfunction. (4) Conclusions: We demonstrated the deleterious effect of the novel variant c.854+1dup on the splicing of ARSA transcripts. We also confirmed the involvement of variant c.640G>A in metachromatic leukodystrophy. Our results show the power of diagnostic approaches that combine deep phenotyping, NGS, and biochemical and functional techniques. Full article
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<p>Pedigrees of the two families analyzed in this study.</p>
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<p>Genetic analysis of family 1. (<b>a</b>) Pedigree of family 1, showing chromosomal segregation with microsatellite alleles and ARSA gene variants. The distal marker (TG)<sub>n</sub>195 is uninformative in this family. (<b>b</b>) Electropherogram showing the homozygosity of the novel mutation c.854+1dup in the proband (PET170).</p>
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<p>Genetic analysis of family 2. (<b>a</b>). Pedigree of family 2, showing chromosomal segregation with microsatellite alleles and ARSA gene variant c.640G&gt;A (<b>b</b>) Electropherogram showing the mutation c.640G&gt;A in homozygosity in the proband (PET173).</p>
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<p>Pathogenic effect of the <span class="html-italic">ARSA</span> variant c.854+1dup. (<b>A</b>) Capillary electrophoresis of cDNA amplification products from exon 4 to exon 5 of the <span class="html-italic">ARSA</span> gene in two control individuals and two siblings heterozygous for the c.854+1dup variant. We obtained an amplicon of the expected size (216 bp) in wild-type individuals, while the carrier siblings showed one amplicon of the expected size and another with an extra base pair (217 bp). Areas under the curve are equivalent to the amount of amplicon detected, with the amount of the c.854+1dup allele (PET171: 3572 fluorescent units (FU); PET172: 3597 FU) being about 60% of the wild-type allele (PET171: 5992 FU; PET172: 5995 FU). (<b>B</b>) Schematic representation of the results in panel (<b>A</b>), showing that splicing of the mutant allele adds an extra base to exon 4 (as verified by Sanger sequencing of the amplicons), leading to a frameshift and the appearance of a premature termination codon.</p>
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11 pages, 1004 KiB  
Article
Noninvasive Assessments of Mitochondrial Capacity in People with Mitochondrial Myopathies
by Kevin K. McCully, Hannah M. Bossie and Fran D. Kendall
Muscles 2024, 3(4), 393-403; https://doi.org/10.3390/muscles3040033 - 26 Nov 2024
Viewed by 270
Abstract
People affected by mitochondrial myopathies (MITOs) are thought to have impaired skeletal muscle oxygenation. The aims of this study were to measure skeletal muscle mitochondrial capacity in MITO participants and able-bodied (AB) participants and evaluate the influence of muscle-specific endurance training in one [...] Read more.
People affected by mitochondrial myopathies (MITOs) are thought to have impaired skeletal muscle oxygenation. The aims of this study were to measure skeletal muscle mitochondrial capacity in MITO participants and able-bodied (AB) participants and evaluate the influence of muscle-specific endurance training in one MITO participant. Participants (n = 7) with mitochondrial disease and controls (n = 9) were tested (ages 18–54 years). Mitochondrial capacity (mVO2max) was measured using the rate constant of recovery of oxygen consumption (mVO2) after exercise in the forearm flexor muscles with near-infrared spectroscopy (NIRS). One MITO participant was tested before and after performing 18 forearm exercise sessions in 30 days. There were no differences between MITO and AB participants in mVO2max (MITO: 1.4 ± 0.1 min−1; AB: 1.5 ± 0.3 min−1; p = 0.29), resting mVO2 (MITO: −0.4 ± 0.2%/min; AB: −0.3 ± 0.1%/min; p = 0.23), or initial post exercise oxygen consumption rates (MITO: 4.3 ± 1.2%/min; AB: 4.4 ± 1.4%/min; p = 0.9). Exercise oxygen desaturation was greater in MITO (39.8 ± 9.7% range) than in AB (28 ± 8.8% range) participants, p = 0.02. The MITO participant who trained increased her mitochondrial capacity (58%) and muscle-specific endurance (24%) and had reduced symptoms of muscle fatigue. We found no evidence supporting in vivo impairment of forearm muscle mVO2max in genetically confirmed MITO participants. This is consistent with studies that report increased mitochondrial content, which offsets the decrease in mitochondrial function. Positive muscle adaptations to endurance training appear to be possible in people with MITOs. Characterization of study populations will be important when interpreting the relationship between in vivo mitochondrial capacity and mitochondrial disease. Full article
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<p>(<b>A</b>) Mitochondrial capacity, (<b>B</b>) maximum exercise O<sub>2</sub> desaturation, (<b>C</b>) resting metabolism, and (<b>D</b>) post exercise metabolic rate. Individual values in red and blue, with black symbols indicating means and SD.</p>
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<p>(<b>A</b>) The number of contractions per session over the one-month training period. The initial training session (black diamond used 2.28 kg, the next sessions (light blue squares) used 1.38 kg, and the remaining sessions (dark blue circles) used 1.82 kg. (<b>B</b>) mVO<sub>2</sub>max increased after training. (<b>C</b>) muscle endurance index increased at 6 Hz stimulation after training.</p>
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16 pages, 646 KiB  
Article
Analyzing Targeted Muscle Strength: Impact on Speed, Endurance, and Performance in Female Volleyball
by Ștefan Adrian Martin, Mihăiță George Gavra and Roxana Maria Martin-Hadmaș
Appl. Sci. 2024, 14(23), 10951; https://doi.org/10.3390/app142310951 - 25 Nov 2024
Viewed by 325
Abstract
This study examines the influence of muscle strength on performance metrics in volleyball, addressing the need to understand how specific and non-specific strength training impacts athletic capabilities. A cohort of athletes underwent various strength tests, including squats (SQs), bench presses (BPs), and deadlifts [...] Read more.
This study examines the influence of muscle strength on performance metrics in volleyball, addressing the need to understand how specific and non-specific strength training impacts athletic capabilities. A cohort of athletes underwent various strength tests, including squats (SQs), bench presses (BPs), and deadlifts (DLs), to assess their force and power during various forms of test. Lactate thresholds (LT1 and LT2) were also measured to evaluate aerobic and anaerobic capacities. The median speed at LT1 was 1.80 m/s, and LT2 was determined at a mean velocity of 2.56 m/s. Notably, a correlation was found between SQ performance and total points scored (p = 0.040, r = 0.285), while upper body strength was strongly correlated with performance metrics, showing significant relationships with points scored (p = 0.0001, r = 0.690) and peak power during BPs (p = 0.0001, r = 0.587). The findings suggest that targeted strength training enhances physical capabilities and improves technical and tactical performance in volleyball, highlighting the critical role of muscle strength in athlete selection and training strategies. Full article
(This article belongs to the Special Issue Advances in Assessment of Physical Performance)
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<p>Illustration of the field test and the measuring point (1–3) during the field test.</p>
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18 pages, 7535 KiB  
Article
Pitch-Regulated Control Strategy for Coaxial Drone with Variable Rotor Space Ratio
by Zhifang Ke, Molei Zhao, Yu Hu, Yongjie Shu, Weibo Liu, Qingkai Meng, Jinghan Tu, Haitao Zhang, Zhaopu Yao and Wei Wei
Drones 2024, 8(12), 703; https://doi.org/10.3390/drones8120703 - 25 Nov 2024
Viewed by 300
Abstract
This study investigates the impact of rotor spacing on the aerodynamic performance of a coaxialcopter and promotes an innovative regulated control strategy for the coaxial drone. The present research introduces a coaxialcopter with variable rotor spacing, and employing finite element numerical simulations, we [...] Read more.
This study investigates the impact of rotor spacing on the aerodynamic performance of a coaxialcopter and promotes an innovative regulated control strategy for the coaxial drone. The present research introduces a coaxialcopter with variable rotor spacing, and employing finite element numerical simulations, we assess the aerodynamic behavior of this novel configuration. Through comprehensive measurements and analysis of its aerodynamic performance across varying rotor spacings from 0.1 R to 1 R, we validate the effectiveness of a rotor-spacing control strategy for enhancing takeoff maneuvers. The numerical simulation and experiment results reveal that the performance characteristics of both the upper and lower rotors converge toward that of a single rotor as the space ratio increases, along with a reduction in their thrust fluctuations and aerodynamic performance periodicity. Considering stable power consumption patterns and endurance performance, we analyzed the interrelations binding the pitch distance of the rotors, rotational speed, and pitch angle, vis à vis the thrust coefficient and power coefficient. Through the parameter optimization method, we demonstrate that adjusting rotor spacing offers a practical means to enhance payload capacity without increasing the power input, thereby improving efficiency, which validates the practicality and efficacy of the parameter optimization approach. Furthermore, optimizing rotor spacing for specific operational scenarios enhances overall aerodynamic performance, suggesting a viable flight control strategy for takeoff and landing conditions for coaxial drones. Full article
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<p>Aerodynamic model of coaxialcopter rotors.</p>
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<p>Rotor basin model and grid processing.</p>
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<p>Wall y+ value of coaxial rotors.</p>
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<p>Mesh independence analysis.</p>
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<p>Steady-state aerodynamic characteristics of coaxial drone rotors.</p>
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<p>Steady-state aerodynamic characteristics of coaxial drone rotors.</p>
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<p>Transient state aerodynamic characteristics of coaxial drone rotors.</p>
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<p>Average thrust fluctuations of coaxial rotors at different space ratios.</p>
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<p>Vortex distribution in coaxial drone rotors.</p>
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<p>The comparison of vortex interference at different space ratios.</p>
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<p>The influence of different parameters on the thrust coefficient.</p>
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<p>The influence of different parameters on the power coefficient.</p>
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<p>Workflow of parameter optimization.</p>
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<p>Thrust and power coefficients of five sets of parameters.</p>
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<p>Test platform of coaxialcoptor rotor.</p>
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<p>Aerodynamic test of coaxialcopter under different rotor spacings.</p>
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<p>Comparison of simulation and experimental results of coaxialcopter rotors.</p>
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<p>Comparison of simulation and experimental results for parameter optimization.</p>
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19 pages, 4391 KiB  
Article
Research on Bearing Capacity of a Novel Prestressed Concrete Prefabricated Foundation with High Uplift Resistance Characteristic
by Wei Zhang, Zhengzhong Ding, Hewen Kang, Pengzhong Lin, Guolu Wen, Deng Yong, Chouxiao Lu, Jiawei Wang, Xiangrui Meng, Kunjie Rong and Li Tian
Buildings 2024, 14(12), 3743; https://doi.org/10.3390/buildings14123743 - 24 Nov 2024
Viewed by 375
Abstract
Unlike traditional building structures, transmission tower foundations endure significant vertical and horizontal loads, with particularly high uplift resistance requirements in complex terrains. Moreover, challenges such as difficult material transport and low construction efficiency arise in these regions. This study, based on practical projects, [...] Read more.
Unlike traditional building structures, transmission tower foundations endure significant vertical and horizontal loads, with particularly high uplift resistance requirements in complex terrains. Moreover, challenges such as difficult material transport and low construction efficiency arise in these regions. This study, based on practical projects, proposes a novel high uplift resistance prestressed concrete prefabricated foundation (HURPCPF) tailored for transmission line systems in complex terrains. A refined finite element model is developed using ABAQUS to analyze its performance under uplift, compressive, and horizontal loads. Comparative studies with cast-in-situ concrete foundations evaluate the HURPCPF’s bearing capacity, while parametric analysis explores the impacts of foundation depth and dimensions. The results show that the proposed HURPCPF exhibits a linear load–displacement relationship, with uniform deformation and good integrity under compressive and uplift conditions. During overturning, the tilt angle is less than 1/500, meeting safety standards. The design of prestressed steel strands and internal reinforcement effectively distributes tensile stress, with a maximum stress of 290 MPa, well below the yield stress of 400 MPa. Compared to cast-in-situ concrete foundations, the displacement at the top of the HURPCPF’s column differs by less than 7%, indicating comparable bearing performance. As foundation depth and size increase, vertical displacement of the HURPCPF decreases, enhancing its uplift resistance. Full article
(This article belongs to the Section Building Structures)
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<p>Schematic diagram of HURPCPF form.</p>
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<p>Calculation model of transmission tower foundation.</p>
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<p>Finite element model of HURPCPF and soil.</p>
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<p>Key point arrangement for displacement response.</p>
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<p>Load-displacement curves of each measurement point of the HURPCPF. (<b>a</b>) Compression load condition; (<b>b</b>) Uplift load condition; (<b>c</b>) Overturning load condition.</p>
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<p>Stress contour of the prestressed steel strands. (<b>a</b>) Unloaded; (<b>b</b>) Compression load condition; (<b>c</b>) Uplift load condition; (<b>d</b>) Overturning load condition.</p>
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<p>Stress contour of the reinforcement. (<b>a</b>) Compression load condition; (<b>b</b>) Uplift load condition; (<b>c</b>) Overturning load condition.</p>
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<p>Stress contour of the HURPCPF’s concrete components. (<b>a</b>) Compression load condition (tensile stress); (<b>b</b>) Uplift load condition (tensile stress); (<b>c</b>) Overturning load condition (tensile stress); (<b>d</b>) Compression load condition (compressive stress); (<b>e</b>) Uplift load condition (compressive stress); (<b>f</b>) Overturning load condition (compressive stress).</p>
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<p>Comparison of load-displacement curves of HURPCPF and CCF. (<b>a</b>) Compression load condition; (<b>b</b>) Uplift load condition; (<b>c</b>) Overturning load condition.</p>
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<p>Comparison of base plate’s displacement data of HURPCPF and CCF.</p>
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<p>Displacement data for HURPCPFs at different foundation depths.</p>
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<p>Comparison of response data of HURPCPF’s maximum stress reinforcements at different foundation depths.</p>
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<p>Displacement data for HURPCPFs at different foundation sizes.</p>
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<p>Comparison of response data of HURPCPF’s maximum stress reinforcements at different foundation sizes.</p>
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16 pages, 522 KiB  
Review
Mental Fatigue and Sports Performance of Athletes: Theoretical Explanation, Influencing Factors, and Intervention Methods
by Chang-Hong Wu, Yun-Di Zhao, Fu-Qiang Yin, Yang Yi, Lu Geng and Xia Xu
Behav. Sci. 2024, 14(12), 1125; https://doi.org/10.3390/bs14121125 - 24 Nov 2024
Viewed by 731
Abstract
Mental fatigue is an important factor affecting athletes’ performance. Explaining the effects of mental fatigue on sports performance from a theoretical point of view can help us deeply understand the interconnection between mental fatigue and sports performance and conduct effective interventions based on [...] Read more.
Mental fatigue is an important factor affecting athletes’ performance. Explaining the effects of mental fatigue on sports performance from a theoretical point of view can help us deeply understand the interconnection between mental fatigue and sports performance and conduct effective interventions based on this. Combining the relevant literature in China and abroad reveals that the current academic theories on the mechanism of sports fatigue include motivational control theory, underload theory, neural waste disposal hypothesis, and resource depletion theory. The effects of mental fatigue on performance are reflected in aerobic endurance, sports decision-making, tactical performance, and technical performance. Current coping strategies for mental fatigue include physiological coping strategies based on nutrition (caffeine), odor, and noninvasive neuromodulation techniques and psychological and behavioral coping strategies based on music and positive thinking. Full article
(This article belongs to the Special Issue Neuroimaging Techniques in the Measurement of Mental Fatigue)
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<p>Conceptual model of the resource depletion theory for MF.</p>
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12 pages, 579 KiB  
Review
The Role of Exogenous Ketones in Road Cycling: Evidence, Mechanisms, and Performance Claims
by Sebastian Sitko
Physiologia 2024, 4(4), 433-444; https://doi.org/10.3390/physiologia4040029 - 24 Nov 2024
Viewed by 438
Abstract
Background: Ketone body supplementation has emerged as a potential ergogenic aid in cycling. Exogenous ketones, primarily in the form of beta-hydroxybutyrate, offer an alternative fuel source, bypassing the need for strict ketogenic diets. However, the science surrounding their efficacy remains complex, with [...] Read more.
Background: Ketone body supplementation has emerged as a potential ergogenic aid in cycling. Exogenous ketones, primarily in the form of beta-hydroxybutyrate, offer an alternative fuel source, bypassing the need for strict ketogenic diets. However, the science surrounding their efficacy remains complex, with mixed field findings and unexplored mechanisms. Methods: A narrative review of the current literature was conducted, synthesizing studies on the metabolic and cognitive effects of ketone bodies in cycling. The review included an examination of human and mechanistic studies, along with emerging hypotheses on ketone bodies and their role in modulating red blood cell production and recovery processes. Results: Ketone body supplementation can theoretically spare glycogen, reduce muscle protein breakdown, enhance fat oxidation, and improve recovery by mitigating oxidative stress and inflammation. Additionally, ketone bodies may support cognitive function, reducing perceived mental fatigue. Preliminary evidence also suggests a potential role in modulating erythropoietin levels through histone acetylation, though further research is needed to establish its impact on oxygen delivery. Despite the theoretical potential, the practical assessment of field studies shows disappointing effects on performance from ketone body supplementation. Conclusions: While ketone bodies offer several potential benefits for cyclists, the variability in individual responses, lack of long-term data, and inconsistent findings in performance studies highlight the need for further research. Optimizing dosage, timing, and understanding the broader implications of ketone body supplementation will be crucial for their practical application in cycling. Full article
(This article belongs to the Special Issue Exercise Physiology and Biochemistry: 2nd Edition)
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<p>Potential effects of ketone supplementation.</p>
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